Genomic Prediction of Wheat Grain Yield Using Machine Learning

Genomic Prediction of Wheat Grain Yield Using Machine Learning

Genomic Prediction (GP) is a powerful approach for inferring complex phenotypes from genetic markers. GP is critical for improving grain yield, particularly for staple crops such as wheat and rice, which are crucial to feeding the world. While machine learning (ML) models have recently started to be...

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Bibliographic Details
Main Authors:	Manisha Sanjay Sirsat, Paula Rodrigues Oblessuc, Ricardo S. Ramiro
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Series:	Agriculture
Subjects:	genomic prediction machine learning random forests gradient boosting Bayesian methods penalized regression
Online Access:	https://www.mdpi.com/2077-0472/12/9/1406

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